Side-by-side comparison of AI visibility scores, market position, and capabilities
Agentic AI go-to-market platform with 825% revenue growth in 2025; $42.5M raised; GTM-1 Omni model; 150 paid customers; founded 2024 in SF; delegates the full outbound sales and marketing motion — from prospect research to multi-channel outreach — to autonomous AI.
Landbase is a San Francisco-based agentic AI company founded in 2024 to automate the full go-to-market motion for B2B companies. The company was founded on the thesis that outbound sales and marketing — lead identification, outreach sequencing, channel selection, and campaign optimization — could be collapsed into a single autonomous system that operates continuously without human intervention. Landbase built its GTM-1 Omni model, a proprietary AI trained specifically on go-to-market execution tasks, to power this end-to-end automation.\n\nLandbase's platform enables sales and marketing teams to define an ideal customer profile and revenue goal, then delegates the entire go-to-market workflow to the AI — including prospect research, personalized messaging across email, LinkedIn, and phone, timing optimization, and performance iteration. The system manages outreach across channels simultaneously, learning from response patterns to improve campaign efficacy over time. With 150 paying customers and growing adoption among early-stage and growth-stage B2B companies, Landbase is establishing itself as a viable alternative to staffed SDR teams and traditional sales automation software.\n\nLandbase achieved 825% revenue growth in 2025, an exceptional growth rate that reflects both the urgency of the go-to-market automation category and strong product-market fit. The company has raised $42.5 million in funding and is scaling its customer base across technology, SaaS, and professional services verticals. As AI agents become credible performers of complex, judgment-intensive sales tasks, Landbase's purpose-built GTM model and early traction position it as a leading platform in the next generation of revenue operations technology.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.